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CodeDreamer06

Unstop MCP Server

get_hackathon_details

Retrieve comprehensive details for a specific Unstop hackathon using its unique ID to access event information, requirements, and participation data.

Instructions

Fetch full details for a single Unstop hackathon by ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hackathon_idYes

Implementation Reference

  • The MCP tool handler in server.py that calls the service layer.
    def get_hackathon_details(hackathon_id: int) -> dict:
        try:
            return service.get_hackathon_details(hackathon_id).model_dump(mode="json")
        except (UnstopValidationError, UnstopAPIError, ValueError) as exc:
            raise ValueError(str(exc)) from exc
  • The actual service implementation that fetches and normalizes hackathon details.
    def get_hackathon_details(self, hackathon_id: int) -> HackathonDetailResponse:
        raw = self.fetch_detail(hackathon_id)
        detail = self.parse_detail(raw)
        item = self.normalize_hackathon(detail)
        return HackathonDetailResponse(item=item, cache=self.cache.metadata(is_cached_result=False))
  • Registration of the get_hackathon_details tool.
        name="get_hackathon_details",
        description="Fetch full details for a single Unstop hackathon by ID.",
    )
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'Fetch full details' which suggests a read-only operation, but it doesn't cover important aspects like authentication needs, rate limits, error handling, or what 'full details' entails (e.g., format, depth). This leaves significant gaps for an agent to understand the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core action and resource, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description is incomplete for a tool that fetches data. It doesn't explain what 'full details' includes, potential response formats, or error cases. For a read operation with no structured output documentation, more context is needed to guide an agent effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds minimal semantics beyond the input schema, which has 0% description coverage. It clarifies that 'hackathon_id' is an integer used to fetch details for a single hackathon, but doesn't provide additional context like valid ranges or examples. With one parameter and low schema coverage, this is a baseline adequate explanation but lacks depth.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Fetch full details') and resource ('for a single Unstop hackathon by ID'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'search_hackathons' or 'search_hackathons_by_location', which likely return multiple results rather than single-item details.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides minimal guidance by implying usage when you have a specific hackathon ID, but it doesn't explain when to use this tool versus alternatives like 'search_hackathons' for broader queries or other siblings. No explicit when-not-to-use or prerequisite information is included.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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